def imgmsg_to_cv2(img_msg): if img_msg.encoding != "bgr8": rospy.logerr("This Coral detect node has been hardcoded to the 'bgr8' encoding. Come change the code if you're actually trying to implement a new camera") dtype = np.dtype("uint8") # Hardcode to 8 bits... dtype =...
#原使用用到关于CvBridge的 from cv_bridge import CvBridge # 创建CvBridge对象 bridge = CvBridge() # 将OpenCV图像转换为ROS图像消息 image_msg = bridge.cv2_to_imgmsg(frame, encoding="bgr8") # 将ROS图像消息转换为OpenCV图像 image_msg = bridge.imgmsg_to_cv2(frame, encoding="bgr8") 解决方案如...
cv2.MORPH_OPEN,kenerl,0,(-1,-1),1,0,0) #形态学滤波#计算图形框x,y,w,h=cv2.boundingRect(image) #计算框属性值ifw>10orh>10:frame=cv2.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),2) #画框,x是左边距,...
导入必要的库和模块:import cv2 from cv_bridge import CvBridge 创建一个cvBridge对象:bridge = CvBridge() 定义一个回调函数,用于接收ROS中的图像消息:def image_callback(ros_image): # 将ROS图像消息转换为OpenCV图像格式 cv_image = bridge.imgmsg_to_cv2(ros_image, "bgr8") # 在图像上进行进一步的处...
(self, data):13cv_image = self.cv_bridge.imgmsg_to_cv2(data,"bgr8")14(rows, cols, channnels) =cv_image.shape15ifcols > 60androws > 60:16cv2.circle(cv_image, (50, 50), 10, 255)17cv2.imshow("Image Window", cv_image)18cv2.waitKey(3)1920if__name__=='__main__':21rospy...
(self,data):# 使用cv_bridge将ROS的图像数据转换成OpenCV的图像格式try:cv_image = self.bridge.imgmsg_to_cv2(data,"bgr8")except CvBridgeError as e:print(str(e))gray = cv2.cvtColor(cv_image, cv2.COLOR_BGR2GRAY)fac...
替换<ros_version>为你的ROS版本,例如noetic。 使用CvBridge Python 导入必要的库 importrospyfromsensor_msgs.msgimportImagefromcv_bridgeimportCvBridge,CvBridgeErrorimportcv2 1. 2. 3. 4. 创建节点和订阅者 defimage_callback(msg):try:# 将ROS图像消息转换为OpenCV图像cv_image=cv_bridge.imgmsg_to_cv2(ms...
cv_image = CvBridge().imgmsg_to_cv2(image_data, "bgr8") File "/home/zhw/gym-gazebo/gym_gazebo/envs/installation/catkin_ws/src/vision_opencv/cv_bridge/python/cv_bridge/core.py", line 163, in imgmsg_to_cv2 dtype, n_channels = self.encoding_to_dtype_with_channels(img_msg.encoding) ...
/usr/bin/env pythonimportcv_bridgeimportnumpyasnpbridge=cv_bridge.CvBridge()mono=np.random.random((100,100))*255mono=mono.astype(np.uint8)input_msg=bridge.cv2_to_imgmsg(mono,encoding='mono8')print('input_msg height : {}'.format(input_msg.height))print('input_msg width : {}'.format...
cv_image = bridge.imgmsg_to_cv2(image_msg, "bgr8") # 在这里,cv_image是一个OpenCV可处理的numpy数组 # 你可以应用OpenCV函数进行图像处理 # ... # 显示图像 cv2.imshow("Image window", cv_image) cv2.waitKey(3) except CvBridgeError as e: print(e) def main(): rospy.init_node('image_...